We hope the trend of sharing raw data continues, as we believe it to be necessary for microarray technology to fulfill its promise. Note: Supplementary information is available on the Nature ...

The amount of raw data returned in a single microarray hybridization experiment is enormous; unfortunately, it cannot be directly compared to data from other hybridization experiments because ...

Preprocess microarray data using the threestep method with background correction, normalization, and summarization. Extract expression values. Generate histograms and boxplots for raw and preprocessed ...

A high quality meta-analysis is achieved by addressing the key issues in conducting a meta-analysis of microarray data (1): Different labs process their raw data differently. These differences in data ...

Daniel. "We are very glad that we can use the Genomatix data analysis pipeline which starts from microarray raw data and integrates pathway and sequence analysis into a comprehensive biological ...

Microarrays are wonderful tools for seeing global patterns of gene expression under different conditions. Plenty of software exists to make sense of the data, but what if you want to correlate ...

All of the “raw” data will remain on the pipeline for 5 years and then will be archived to a storage server. Please contact our maintainer ([email protected]) if you have any questions. Microarray ...

2.2 Microarray datasets of diabetic nephropathy We obtained the ... Each sample in the dataset did not undergo any other chemical treatment or gene modification; (4) Raw data or gene expression ...

Agilent Scanner (G2505C) was used to scan microarray slides, and Agilent Feature Extraction Software (version 10.7.1.1) was used to read the scanned images. The raw data were quantile-normalized and ...

The collection of data is done by using a microarray scanner. This scanner consists of a laser, a computer, and a camera. The laser excites fluorescence of the cDNA, generating signals.